Develop, implement, and maintain IoT applications for embedded systems using programming languages such as Python, C, C++, JavaScript, and Assembly.
Design and develop backend services using Node.js and APIs to enable seamless communication between IoT devices and cloud platforms.
Design, integrate, configure, and troubleshoot IoT hardware components, including microcontrollers, microprocessors, sensors, actuators, and communication modules.
Develop and optimize firmware/software for embedded devices to ensure high performance and reliability.
Implement and manage IoT communication protocols such as Wi-Fi, Bluetooth, BLE, Zigbee, LoRaWAN, RF, HTTP, MQTT, and CoAP to support secure and efficient device connectivity.
Ensure IoT systems comply with cybersecurity best practices by implementing encryption, authentication, access control, and secure communication protocols.
Perform testing, debugging, performance optimization, and troubleshooting of IoT hardware and software solutions.
Collaborate with cross-functional teams, including hardware engineers, software developers, QA engineers, and business stakeholders, to deliver end-to-end IoT solutions.
Programming and Software Development: Proficiency in languages such as Python, C, C++, JavaScript, and Assembly is essential for developing IoT applications and embedded systems, Knowledge of Node.js and APIs is also valuable for backend development and device communication
Hardware: Understanding microcontrollers, microprocessors, sensors, actuators, and IoT hardware components is critical. Engineers must know how to integrate and configure these devices for efficient data collection and processing. Designing and integrating sensors, processors, and network modules.
Protocols: IoT engineers should be skilled in designing and managing networks using Wi-Fi, Bluetooth, BLE, Zigbee, LoRaWAN, RF, HTTP, MQTT, and CoAP to ensure reliable device connectivity
Data Analytics: Ability to analyze large datasets from IoT devices, implement machine learning models, and extract actionable insights is crucial for predictive maintenance, operational efficiency, and smart decision-making .
Database : Familiarity with cloud services, SQL, and NoSQL databases is necessary for real-time data storage, synchronization, and IoT platform management
Cybersecurity: Knowledge of encryption, access control, and security protocols is essential to protect IoT devices and networks from unauthorized access and cyber threats
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